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Showing 1 to 12 of 49 entries
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STUDENTJAMA. Molecular technologies for personalized cancer management.

JAMA

Hasan RK, Wulfkuhle JD, Liotta LA, Petricoin EF.
PMID: 15069056
JAMA. 2004 Apr 07;291(13):1644-5. doi: 10.1001/jama.291.13.1644.

No abstract available.

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Hasan RK, Wulfkuhle JD, Liotta LA, et al. STUDENTJAMA. Molecular technologies for personalized cancer management. JAMA. 2004;291(13):1644-5doi: 10.1001/jama.291.13.1644.
Hasan, R. K., Wulfkuhle, J. D., Liotta, L. A., & Petricoin, E. F. (2004). STUDENTJAMA. Molecular technologies for personalized cancer management. JAMA, 291(13), 1644-5. https://doi.org/10.1001/jama.291.13.1644
Hasan, Rani K, et al. "STUDENTJAMA. Molecular technologies for personalized cancer management." JAMA vol. 291,13 (2004): 1644-5. doi: https://doi.org/10.1001/jama.291.13.1644
Hasan RK, Wulfkuhle JD, Liotta LA, Petricoin EF. STUDENTJAMA. Molecular technologies for personalized cancer management. JAMA. 2004 Apr 07;291(13):1644-5. doi: 10.1001/jama.291.13.1644. PMID: 15069056.
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[Micro-array based technologies to study the proteome: technological progress and applications].

Annales de biologie clinique

Mortuaire G, Marchetti P, Formstecher P, Danzé PM.
PMID: 15047465
Ann Biol Clin (Paris). 2004 Mar-Apr;62(2):139-48.

Since these twenty last years, there is an increasing interest for large-scale analysis of biological function. In the field of transcriptome, the emergence of microarray-based technologies and the design of DNA biochips allow high-throughput studies of RNA expression in...

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Mortuaire G, Marchetti P, Formstecher P, et al. Nouvelle approche globale en protéomique: les biopuces à protéines. Techniques actuelles et applications. [Micro-array based technologies to study the proteome: technological progress and applications]. Ann Biol Clin (Paris). 2004;62(2):139-48
Mortuaire, G., Marchetti, P., Formstecher, P., & Danzé, P. M. (2004). Nouvelle approche globale en protéomique: les biopuces à protéines. Techniques actuelles et applications. [Micro-array based technologies to study the proteome: technological progress and applications]. Annales de biologie clinique, 62(2), 139-48.
Mortuaire, G, et al. "Nouvelle approche globale en protéomique: les biopuces à protéines. Techniques actuelles et applications." [Micro-array based technologies to study the proteome: technological progress and applications]. Annales de biologie clinique vol. 62,2 (2004): 139-48.
Mortuaire G, Marchetti P, Formstecher P, Danzé PM. Nouvelle approche globale en protéomique: les biopuces à protéines. Techniques actuelles et applications. [Micro-array based technologies to study the proteome: technological progress and applications]. Ann Biol Clin (Paris). 2004 Mar-Apr;62(2):139-48. French. PMID: 15047465.
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Allergology on a chip.

Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology

Poulsen LK, Pedersen MH, Dufva M.
PMID: 17953705
Clin Exp Allergy. 2007 Dec;37(12):1736-7. doi: 10.1111/j.1365-2222.2007.02844.x. Epub 2007 Oct 22.

No abstract available.

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Poulsen LK, Pedersen MH, Dufva M. Allergology on a chip. Clin Exp Allergy. 2007;37(12):1736-7doi: 10.1111/j.1365-2222.2007.02844.x.
Poulsen, L. K., Pedersen, M. H., & Dufva, M. (2007). Allergology on a chip. Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology, 37(12), 1736-7. https://doi.org/10.1111/j.1365-2222.2007.02844.x
Poulsen, L K, et al. "Allergology on a chip." Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology vol. 37,12 (2007): 1736-7. doi: https://doi.org/10.1111/j.1365-2222.2007.02844.x
Poulsen LK, Pedersen MH, Dufva M. Allergology on a chip. Clin Exp Allergy. 2007 Dec;37(12):1736-7. doi: 10.1111/j.1365-2222.2007.02844.x. Epub 2007 Oct 22. PMID: 17953705.
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KEGG-based pathway visualization tool for complex omics data.

In silico biology

Arakawa K, Kono N, Yamada Y, Mori H, Tomita M.
PMID: 16268787
In Silico Biol. 2005;5(4):419-23.

Pathway-level visualization of omics data provides an essential means for systems biology, to capture the systematic properties of the inner activities of cells. Here we describe a web-based resource consisting of a web-application for the visualization of complex omics...

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Arakawa K, Kono N, Yamada Y, et al. KEGG-based pathway visualization tool for complex omics data. In Silico Biol. 2005;5(4):419-23
Arakawa, K., Kono, N., Yamada, Y., Mori, H., & Tomita, M. (2005). KEGG-based pathway visualization tool for complex omics data. In silico biology, 5(4), 419-23.
Arakawa, Kazuharu, et al. "KEGG-based pathway visualization tool for complex omics data." In silico biology vol. 5,4 (2005): 419-23.
Arakawa K, Kono N, Yamada Y, Mori H, Tomita M. KEGG-based pathway visualization tool for complex omics data. In Silico Biol. 2005;5(4):419-23. PMID: 16268787.
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Propagating uncertainty in microarray data analysis.

Briefings in bioinformatics

Rattray M, Liu X, Sanguinetti G, Milo M, Lawrence ND.
PMID: 16761363
Brief Bioinform. 2006 Mar;7(1):37-47. doi: 10.1093/bib/bbk003.

Microarray technology is associated with many sources of experimental uncertainty. In this review we discuss a number of approaches for dealing with this uncertainty in the processing of data from microarray experiments. We focus here on the analysis of...

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Rattray M, Liu X, Sanguinetti G, et al. Propagating uncertainty in microarray data analysis. Brief Bioinform. 2006;7(1):37-47doi: 10.1093/bib/bbk003.
Rattray, M., Liu, X., Sanguinetti, G., Milo, M., & Lawrence, N. D. (2006). Propagating uncertainty in microarray data analysis. Briefings in bioinformatics, 7(1), 37-47. https://doi.org/10.1093/bib/bbk003
Rattray, Magnus, et al. "Propagating uncertainty in microarray data analysis." Briefings in bioinformatics vol. 7,1 (2006): 37-47. doi: https://doi.org/10.1093/bib/bbk003
Rattray M, Liu X, Sanguinetti G, Milo M, Lawrence ND. Propagating uncertainty in microarray data analysis. Brief Bioinform. 2006 Mar;7(1):37-47. doi: 10.1093/bib/bbk003. PMID: 16761363.
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Graph kernels for disease outcome prediction from protein-protein interaction networks.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

Borgwardt KM, Kriegel HP, Vishwanathan SV, Schraudolph NN.
PMID: 17992741
Pac Symp Biocomput. 2007;4-15.

It is widely believed that comparing discrepancies in the protein-protein interaction (PPI) networks of individuals will become an important tool in understanding and preventing diseases. Currently PPI networks for individuals are not available, but gene expression data is becoming...

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Borgwardt KM, Kriegel HP, Vishwanathan SV, et al. Graph kernels for disease outcome prediction from protein-protein interaction networks. Pac Symp Biocomput. 2007;4-15
Borgwardt, K. M., Kriegel, H. P., Vishwanathan, S. V., & Schraudolph, N. N. (2007). Graph kernels for disease outcome prediction from protein-protein interaction networks. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 4-15.
Borgwardt, Karsten M, et al. "Graph kernels for disease outcome prediction from protein-protein interaction networks." Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing vol. (2007): 4-15.
Borgwardt KM, Kriegel HP, Vishwanathan SV, Schraudolph NN. Graph kernels for disease outcome prediction from protein-protein interaction networks. Pac Symp Biocomput. 2007;4-15. PMID: 17992741.
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Protein Microarrays: Flexible Tools for Scientific Innovation.

Cold Spring Harbor protocols

Neiswinger J, Uzoma I, Cox E, Rho H, Song G, Paul C, Jeong JS, Lu KY, Chen CS, Zhu H.
PMID: 27698245
Cold Spring Harb Protoc. 2016 Oct 03;2016(10). doi: 10.1101/pdb.top081471.

Protein microarrays have emerged as a powerful tool for the scientific community, and their greatest advantage lies in the fact that thousands of reactions can be performed in a parallel and unbiased manner. The first high-density protein microarray, dubbed...

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Neiswinger J, Uzoma I, Cox E, et al. Protein Microarrays: Flexible Tools for Scientific Innovation. Cold Spring Harb Protoc. 2016;2016(10)doi: 10.1101/pdb.top081471.
Neiswinger, J., Uzoma, I., Cox, E., Rho, H., Song, G., Paul, C., Jeong, J. S., Lu, K. Y., Chen, C. S., & Zhu, H. (2016). Protein Microarrays: Flexible Tools for Scientific Innovation. Cold Spring Harbor protocols, 2016(10), . https://doi.org/10.1101/pdb.top081471
Neiswinger, Johnathan, et al. "Protein Microarrays: Flexible Tools for Scientific Innovation." Cold Spring Harbor protocols vol. 2016,10 (2016). doi: https://doi.org/10.1101/pdb.top081471
Neiswinger J, Uzoma I, Cox E, Rho H, Song G, Paul C, Jeong JS, Lu KY, Chen CS, Zhu H. Protein Microarrays: Flexible Tools for Scientific Innovation. Cold Spring Harb Protoc. 2016 Oct 03;2016(10). doi: 10.1101/pdb.top081471. PMID: 27698245.
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Chip, chip, array! Three chips for post-genomic research.

Drug discovery today

Rockett JC.
PMID: 11965393
Drug Discov Today. 2002 Apr 15;7(8):458-9. doi: 10.1016/s1359-6446(02)02227-4.

No abstract available.

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Rockett JC. Chip, chip, array! Three chips for post-genomic research. Drug Discov Today. 2002;7(8):458-9doi: 10.1016/s1359-6446(02)02227-4.
Rockett, J. C. (2002). Chip, chip, array! Three chips for post-genomic research. Drug discovery today, 7(8), 458-9. https://doi.org/10.1016/s1359-6446(02)02227-4
Rockett, John C. "Chip, chip, array! Three chips for post-genomic research." Drug discovery today vol. 7,8 (2002): 458-9. doi: https://doi.org/10.1016/s1359-6446(02)02227-4
Rockett JC. Chip, chip, array! Three chips for post-genomic research. Drug Discov Today. 2002 Apr 15;7(8):458-9. doi: 10.1016/s1359-6446(02)02227-4. PMID: 11965393.
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RPPanalyzer: Analysis of reverse-phase protein array data.

Bioinformatics (Oxford, England)

Mannsperger HA, Gade S, Henjes F, Beissbarth T, Korf U.
PMID: 20634205
Bioinformatics. 2010 Sep 01;26(17):2202-3. doi: 10.1093/bioinformatics/btq347. Epub 2010 Jul 15.

SUMMARY: RPPanalyzer is a statistical tool developed to read reverse-phase protein array data, to perform the basic data analysis and to visualize the resulting biological information. The R-package provides different functions to compare protein expression levels of different samples...

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Mannsperger HA, Gade S, Henjes F, et al. RPPanalyzer: Analysis of reverse-phase protein array data. Bioinformatics. 2010;26(17):2202-3doi: 10.1093/bioinformatics/btq347.
Mannsperger, H. A., Gade, S., Henjes, F., Beissbarth, T., & Korf, U. (2010). RPPanalyzer: Analysis of reverse-phase protein array data. Bioinformatics (Oxford, England), 26(17), 2202-3. https://doi.org/10.1093/bioinformatics/btq347
Mannsperger, Heiko A, et al. "RPPanalyzer: Analysis of reverse-phase protein array data." Bioinformatics (Oxford, England) vol. 26,17 (2010): 2202-3. doi: https://doi.org/10.1093/bioinformatics/btq347
Mannsperger HA, Gade S, Henjes F, Beissbarth T, Korf U. RPPanalyzer: Analysis of reverse-phase protein array data. Bioinformatics. 2010 Sep 01;26(17):2202-3. doi: 10.1093/bioinformatics/btq347. Epub 2010 Jul 15. PMID: 20634205.
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Protein microarray technology.

Expert review of proteomics

Joos T.
PMID: 15966791
Expert Rev Proteomics. 2004 Jun;1(1):1-3. doi: 10.1586/14789450.1.1.1.

No abstract available.

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Joos T. Protein microarray technology. Expert Rev Proteomics. 2004;1(1):1-3doi: 10.1586/14789450.1.1.1.
Joos, T. (2004). Protein microarray technology. Expert review of proteomics, 1(1), 1-3. https://doi.org/10.1586/14789450.1.1.1
Joos, Thomas. "Protein microarray technology." Expert review of proteomics vol. 1,1 (2004): 1-3. doi: https://doi.org/10.1586/14789450.1.1.1
Joos T. Protein microarray technology. Expert Rev Proteomics. 2004 Jun;1(1):1-3. doi: 10.1586/14789450.1.1.1. PMID: 15966791.
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BioMEMS: state-of-the-art in detection, opportunities and prospects.

Advanced drug delivery reviews

Bashir R.
PMID: 15350289
Adv Drug Deliv Rev. 2004 Sep 22;56(11):1565-86. doi: 10.1016/j.addr.2004.03.002.

In recent years, the biological and biomedical applications of micro- and nanotechnology (commonly referred to as Biomedical or Biological Micro-Electro-Mechanical Systems [BioMEMS]) have become increasingly prevalent and have found widespread use in a wide variety of applications such as...

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Bashir R. BioMEMS: state-of-the-art in detection, opportunities and prospects. Adv Drug Deliv Rev. 2004;56(11):1565-86doi: 10.1016/j.addr.2004.03.002.
Bashir, R. (2004). BioMEMS: state-of-the-art in detection, opportunities and prospects. Advanced drug delivery reviews, 56(11), 1565-86. https://doi.org/10.1016/j.addr.2004.03.002
Bashir, Rashid. "BioMEMS: state-of-the-art in detection, opportunities and prospects." Advanced drug delivery reviews vol. 56,11 (2004): 1565-86. doi: https://doi.org/10.1016/j.addr.2004.03.002
Bashir R. BioMEMS: state-of-the-art in detection, opportunities and prospects. Adv Drug Deliv Rev. 2004 Sep 22;56(11):1565-86. doi: 10.1016/j.addr.2004.03.002. PMID: 15350289.
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Application of quantum dots in quantitative proteomics for multiplex colour system assay.

Medical hypotheses

Khalifeh K, Ranjbar B.
PMID: 16574338
Med Hypotheses. 2006;67(1):203-4. doi: 10.1016/j.mehy.2006.01.003. Epub 2006 Mar 30.

No abstract available.

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Khalifeh K, Ranjbar B. Application of quantum dots in quantitative proteomics for multiplex colour system assay. Med Hypotheses. 2006;67(1):203-4doi: 10.1016/j.mehy.2006.01.003.
Khalifeh, K., & Ranjbar, B. (2006). Application of quantum dots in quantitative proteomics for multiplex colour system assay. Medical hypotheses, 67(1), 203-4. https://doi.org/10.1016/j.mehy.2006.01.003
Khalifeh, Khosrow, and Ranjbar, Bijan. "Application of quantum dots in quantitative proteomics for multiplex colour system assay." Medical hypotheses vol. 67,1 (2006): 203-4. doi: https://doi.org/10.1016/j.mehy.2006.01.003
Khalifeh K, Ranjbar B. Application of quantum dots in quantitative proteomics for multiplex colour system assay. Med Hypotheses. 2006;67(1):203-4. doi: 10.1016/j.mehy.2006.01.003. Epub 2006 Mar 30. PMID: 16574338.
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Showing 1 to 12 of 49 entries